论文标题
分布式世代的联合计划和主动分销网络中的能源存储：双层编程方法
Joint Planning of Distributed Generations and Energy Storage in Active Distribution Networks: A Bi-Level Programming Approach
论文作者
论文摘要
为了提高分销网络可再生能源资源的渗透，通过本文使用BI级编程方法，建议为主动分配网络提供分布式世代（DGS）和能源存储的联合计划模型。在此模型中，高层旨在寻求DGS和储能的最佳位置和容量，而下层则优化了储能设备的运行。为了解决该模型，开发了基于混乱优化的改进的二进制粒子群优化（IBPSO）算法，并通过在两个级别之间的交替迭代来实现最佳的关节计划。 PG＆E 69-BUS分配系统上的仿真结果表明，提出的方法可以减少由DG输出的不确定性引起的计划偏差，并显着改善了分配系统的电压概况和操作经济。
In order to improve the penetration of renewable energy resources for distribution networks, a joint planning model of distributed generations (DGs) and energy storage is proposed for an active distribution network by using a bi-level programming approach in this paper. In this model, the upper-level aims to seek the optimal location and capacity of DGs and energy storage, while the lower-level optimizes the operation of energy storage devices. To solve this model, an improved binary particle swarm optimization (IBPSO) algorithm based on chaos optimization is developed, and the optimal joint planning is achieved through alternating iterations between the two levels. The simulation results on the PG & E 69-bus distribution system demonstrate that the presented approach manages to reduce the planning deviation caused by the uncertainties of DG outputs and remarkably improve the voltage profile and operational economy of distribution systems.
